Josh Dillon, Last Revised January 2022
This notebook examines an individual antenna's performance over a whole season. This notebook parses information from each nightly rtp_summarynotebook (as saved to .csvs) and builds a table describing antenna performance. It also reproduces per-antenna plots from each auto_metrics notebook pertinent to the specific antenna.
import os
from IPython.display import display, HTML
display(HTML("<style>.container { width:100% !important; }</style>"))
# If you want to run this notebook locally, copy the output of the next cell into the next line of this cell.
# antenna = "004"
# csv_folder = '/lustre/aoc/projects/hera/H5C/H5C_Notebooks/_rtp_summary_'
# auto_metrics_folder = '/lustre/aoc/projects/hera/H5C/H5C_Notebooks/auto_metrics_inspect'
# os.environ["ANTENNA"] = antenna
# os.environ["CSV_FOLDER"] = csv_folder
# os.environ["AUTO_METRICS_FOLDER"] = auto_metrics_folder
# Use environment variables to figure out path to the csvs and auto_metrics
antenna = str(int(os.environ["ANTENNA"]))
csv_folder = os.environ["CSV_FOLDER"]
auto_metrics_folder = os.environ["AUTO_METRICS_FOLDER"]
print(f'antenna = "{antenna}"')
print(f'csv_folder = "{csv_folder}"')
print(f'auto_metrics_folder = "{auto_metrics_folder}"')
antenna = "31" csv_folder = "/home/obs/src/H6C_Notebooks/_rtp_summary_" auto_metrics_folder = "/home/obs/src/H6C_Notebooks/auto_metrics_inspect"
display(HTML(f'<h1 style=font-size:50px><u>Antenna {antenna} Report</u><p></p></h1>'))
import numpy as np
import pandas as pd
pd.set_option('display.max_rows', 1000)
import glob
import re
from hera_notebook_templates.utils import status_colors, Antenna
# load csvs and auto_metrics htmls in reverse chronological order
csvs = sorted(glob.glob(os.path.join(csv_folder, 'rtp_summary_table*.csv')))[::-1]
print(f'Found {len(csvs)} csvs in {csv_folder}')
auto_metric_htmls = sorted(glob.glob(auto_metrics_folder + '/auto_metrics_inspect_*.html'))[::-1]
print(f'Found {len(auto_metric_htmls)} auto_metrics notebooks in {auto_metrics_folder}')
Found 72 csvs in /home/obs/src/H6C_Notebooks/_rtp_summary_ Found 70 auto_metrics notebooks in /home/obs/src/H6C_Notebooks/auto_metrics_inspect
# Per-season options
mean_round_modz_cut = 4
dead_cut = 0.4
crossed_cut = 0.0
def jd_to_summary_url(jd):
return f'https://htmlpreview.github.io/?https://github.com/HERA-Team/H6C_Notebooks/blob/main/_rtp_summary_/rtp_summary_{jd}.html'
def jd_to_auto_metrics_url(jd):
return f'https://htmlpreview.github.io/?https://github.com/HERA-Team/H6C_Notebooks/blob/main/auto_metrics_inspect/auto_metrics_inspect_{jd}.html'
this_antenna = None
jds = []
# parse information about antennas and nodes
for csv in csvs:
df = pd.read_csv(csv)
for n in range(len(df)):
# Add this day to the antenna
row = df.loc[n]
if isinstance(row['Ant'], str) and '<a href' in row['Ant']:
antnum = int(row['Ant'].split('</a>')[0].split('>')[-1]) # it's a link, extract antnum
else:
antnum = int(row['Ant'])
if antnum != int(antenna):
continue
if np.issubdtype(type(row['Node']), np.integer):
row['Node'] = str(row['Node'])
if type(row['Node']) == str and row['Node'].isnumeric():
row['Node'] = 'N' + ('0' if len(row['Node']) == 1 else '') + row['Node']
if this_antenna is None:
this_antenna = Antenna(row['Ant'], row['Node'])
jd = [int(s) for s in re.split('_|\.', csv) if s.isdigit()][-1]
jds.append(jd)
this_antenna.add_day(jd, row)
break
# build dataframe
to_show = {'JDs': [f'<a href="{jd_to_summary_url(jd)}" target="_blank">{jd}</a>' for jd in jds]}
to_show['A Priori Status'] = [this_antenna.statuses[jd] for jd in jds]
df = pd.DataFrame(to_show)
# create bar chart columns for flagging percentages:
bar_cols = {}
bar_cols['Auto Metrics Flags'] = [this_antenna.auto_flags[jd] for jd in jds]
bar_cols[f'Dead Fraction in Ant Metrics (Jee)'] = [this_antenna.dead_flags_Jee[jd] for jd in jds]
bar_cols[f'Dead Fraction in Ant Metrics (Jnn)'] = [this_antenna.dead_flags_Jnn[jd] for jd in jds]
bar_cols['Crossed Fraction in Ant Metrics'] = [this_antenna.crossed_flags[jd] for jd in jds]
bar_cols['Flag Fraction Before Redcal'] = [this_antenna.flags_before_redcal[jd] for jd in jds]
bar_cols['Flagged By Redcal chi^2 Fraction'] = [this_antenna.redcal_flags[jd] for jd in jds]
for col in bar_cols:
df[col] = bar_cols[col]
z_score_cols = {}
z_score_cols['ee Shape Modified Z-Score'] = [this_antenna.ee_shape_zs[jd] for jd in jds]
z_score_cols['nn Shape Modified Z-Score'] = [this_antenna.nn_shape_zs[jd] for jd in jds]
z_score_cols['ee Power Modified Z-Score'] = [this_antenna.ee_power_zs[jd] for jd in jds]
z_score_cols['nn Power Modified Z-Score'] = [this_antenna.nn_power_zs[jd] for jd in jds]
z_score_cols['ee Temporal Variability Modified Z-Score'] = [this_antenna.ee_temp_var_zs[jd] for jd in jds]
z_score_cols['nn Temporal Variability Modified Z-Score'] = [this_antenna.nn_temp_var_zs[jd] for jd in jds]
z_score_cols['ee Temporal Discontinuties Modified Z-Score'] = [this_antenna.ee_temp_discon_zs[jd] for jd in jds]
z_score_cols['nn Temporal Discontinuties Modified Z-Score'] = [this_antenna.nn_temp_discon_zs[jd] for jd in jds]
for col in z_score_cols:
df[col] = z_score_cols[col]
ant_metrics_cols = {}
ant_metrics_cols['Average Dead Ant Metric (Jee)'] = [this_antenna.Jee_dead_metrics[jd] for jd in jds]
ant_metrics_cols['Average Dead Ant Metric (Jnn)'] = [this_antenna.Jnn_dead_metrics[jd] for jd in jds]
ant_metrics_cols['Average Crossed Ant Metric'] = [this_antenna.crossed_metrics[jd] for jd in jds]
for col in ant_metrics_cols:
df[col] = ant_metrics_cols[col]
redcal_cols = {}
redcal_cols['Median chi^2 Per Antenna (Jee)'] = [this_antenna.Jee_chisqs[jd] for jd in jds]
redcal_cols['Median chi^2 Per Antenna (Jnn)'] = [this_antenna.Jnn_chisqs[jd] for jd in jds]
for col in redcal_cols:
df[col] = redcal_cols[col]
# style dataframe
table = df.style.hide_index()\
.applymap(lambda val: f'background-color: {status_colors[val]}' if val in status_colors else '', subset=['A Priori Status']) \
.background_gradient(cmap='viridis', vmax=mean_round_modz_cut * 3, vmin=0, axis=None, subset=list(z_score_cols.keys())) \
.background_gradient(cmap='bwr_r', vmin=dead_cut-.25, vmax=dead_cut+.25, axis=0, subset=list([col for col in ant_metrics_cols if 'dead' in col.lower()])) \
.background_gradient(cmap='bwr_r', vmin=crossed_cut-.25, vmax=crossed_cut+.25, axis=0, subset=list([col for col in ant_metrics_cols if 'crossed' in col.lower()])) \
.background_gradient(cmap='plasma', vmax=4, vmin=1, axis=None, subset=list(redcal_cols.keys())) \
.applymap(lambda val: 'font-weight: bold' if val < dead_cut else '', subset=list([col for col in ant_metrics_cols if 'dead' in col.lower()])) \
.applymap(lambda val: 'font-weight: bold' if val < crossed_cut else '', subset=list([col for col in ant_metrics_cols if 'crossed' in col.lower()])) \
.applymap(lambda val: 'font-weight: bold' if val > mean_round_modz_cut else '', subset=list(z_score_cols.keys())) \
.applymap(lambda val: 'color: red' if val > mean_round_modz_cut else '', subset=list(z_score_cols.keys())) \
.bar(subset=list(bar_cols.keys()), vmin=0, vmax=1) \
.format({col: '{:,.4f}'.format for col in z_score_cols}) \
.format({col: '{:,.4f}'.format for col in ant_metrics_cols}) \
.format('{:,.2%}', na_rep='-', subset=list(bar_cols.keys())) \
.set_table_styles([dict(selector="th",props=[('max-width', f'70pt')])])
This table reproduces each night's row for this antenna from the RTP Summary notebooks. For more info on the columns, see those notebooks, linked in the JD column.
display(HTML(f'<h2>Antenna {antenna}, Node {this_antenna.node}:</h2>'))
HTML(table.render(render_links=True, escape=False))
| JDs | A Priori Status | Auto Metrics Flags | Dead Fraction in Ant Metrics (Jee) | Dead Fraction in Ant Metrics (Jnn) | Crossed Fraction in Ant Metrics | Flag Fraction Before Redcal | Flagged By Redcal chi^2 Fraction | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | Average Dead Ant Metric (Jee) | Average Dead Ant Metric (Jnn) | Average Crossed Ant Metric | Median chi^2 Per Antenna (Jee) | Median chi^2 Per Antenna (Jnn) |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 2459888 | digital_ok | 100.00% | 0.00% | 0.00% | 0.00% | - | - | -0.190899 | -1.160898 | 0.183058 | 0.493939 | 32.375921 | 2.272423 | 1.450018 | 2.807456 | 0.7129 | 0.7066 | 0.3751 | nan | nan |
| 2459887 | digital_ok | 100.00% | 0.00% | 0.00% | 0.00% | - | - | -0.282155 | -1.141068 | 3.083906 | 0.506776 | 1.656752 | 1.732900 | 1.865904 | 5.516536 | 0.6946 | 0.6891 | 0.3839 | nan | nan |
| 2459886 | digital_ok | 100.00% | 0.00% | 0.00% | 0.00% | - | - | 0.403799 | -1.132856 | 1.624293 | 0.613475 | 29.114218 | 1.565592 | 1.996151 | 1.384100 | 0.7709 | 0.7525 | 0.3309 | nan | nan |
| 2459885 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | - | - | 0.195999 | 1.868778 | 0.918401 | -0.514856 | 0.197995 | 2.195647 | 1.241446 | 2.824968 | 0.7449 | 0.7238 | 0.3524 | nan | nan |
| 2459884 | digital_ok | 100.00% | 0.00% | 0.00% | 0.00% | - | - | -0.177481 | 0.364689 | 0.175095 | 0.223400 | 1.085260 | 3.051411 | 2.769820 | 4.895320 | 0.6968 | 0.6807 | 0.3937 | nan | nan |
| 2459883 | digital_ok | 100.00% | 0.00% | 0.00% | 0.00% | - | - | -0.338484 | 1.719288 | 1.158476 | -0.206353 | -0.182063 | 1.834010 | 9.627846 | 9.503478 | 0.7009 | 0.6904 | 0.3826 | nan | nan |
| 2459882 | digital_ok | 100.00% | 0.00% | 0.00% | 0.00% | - | - | -0.307127 | 2.627648 | 1.228088 | -0.627596 | 0.038654 | 2.584520 | 4.629519 | 5.896410 | 0.7043 | 0.6913 | 0.3797 | nan | nan |
| 2459881 | digital_ok | 100.00% | 0.00% | 0.00% | 0.00% | - | - | 0.237989 | 1.046810 | 1.004489 | -0.759271 | 1.150845 | 3.445982 | 7.008094 | 2.885829 | 0.7364 | 0.7313 | 0.3332 | nan | nan |
| 2459880 | digital_ok | 100.00% | 0.00% | 0.00% | 0.00% | - | - | -0.171829 | 1.737660 | 1.641851 | -0.149090 | -0.660849 | 2.402565 | 4.841661 | 6.603957 | 0.6960 | 0.6861 | 0.3953 | nan | nan |
| 2459879 | digital_ok | 100.00% | 0.00% | 0.00% | 0.00% | - | - | -0.202567 | 0.509372 | 0.366874 | 0.708735 | 0.640808 | 4.195757 | 4.460737 | 4.293056 | 0.6841 | 0.6815 | 0.4051 | nan | nan |
| 2459878 | digital_ok | 100.00% | 0.00% | 0.00% | 0.00% | - | - | -0.212015 | 2.199926 | 1.784112 | 0.616941 | 0.209822 | 5.178747 | 8.309268 | 10.775174 | 0.6864 | 0.6886 | 0.4008 | nan | nan |
| 2459876 | digital_ok | 100.00% | 0.00% | 0.00% | 0.00% | - | - | 0.202199 | 2.513134 | 1.063126 | 1.753331 | 1.693888 | 3.906864 | 3.946171 | 5.743841 | 0.7118 | 0.6863 | 0.3885 | nan | nan |
| 2459875 | digital_ok | 100.00% | 0.00% | 0.00% | 0.00% | - | - | 0.244651 | -0.537810 | 1.415107 | -0.406667 | 0.431649 | 4.967766 | 1.583064 | 6.577813 | 0.7199 | 0.7103 | 0.3919 | nan | nan |
| 2459874 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | - | - | 0.077745 | -0.335931 | 0.197907 | 0.219212 | 1.135821 | 2.272162 | 0.485088 | 1.091300 | 0.7084 | 0.6869 | 0.3831 | nan | nan |
| 2459873 | digital_ok | 100.00% | 0.00% | 0.00% | 0.00% | - | - | 0.095153 | 0.055640 | 0.697941 | -0.755001 | -0.021246 | 2.410773 | 1.231202 | 6.075631 | 0.7166 | 0.6848 | 0.3813 | nan | nan |
| 2459872 | digital_ok | 100.00% | 0.00% | 0.00% | 0.00% | - | - | 0.268651 | -0.009894 | 0.416057 | -0.722202 | 1.662229 | 5.134349 | 1.983310 | 6.070690 | 0.7113 | 0.6900 | 0.3891 | nan | nan |
| 2459871 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | - | - | 0.279236 | -0.446063 | 0.898779 | 0.348120 | 0.868003 | 3.168017 | 1.160914 | 3.548459 | 0.7170 | 0.6877 | 0.3847 | nan | nan |
| 2459870 | digital_ok | 100.00% | 0.00% | 0.00% | 0.00% | - | - | 0.109978 | -0.560251 | 0.643115 | 1.809722 | 1.772952 | 6.819304 | 0.909311 | 1.276700 | 0.7207 | 0.6929 | 0.3872 | nan | nan |
| 2459869 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | - | - | 0.317454 | -0.397711 | 0.857268 | 2.212556 | 2.249177 | 2.912764 | 1.087695 | 1.661878 | 0.7279 | 0.7088 | 0.3825 | nan | nan |
| 2459868 | digital_ok | 100.00% | 0.00% | 0.00% | 0.00% | - | - | 0.128890 | 2.007089 | 1.240347 | 0.126934 | -0.213465 | 3.156097 | 4.846149 | 5.711516 | 0.7113 | 0.6833 | 0.3997 | nan | nan |
| 2459867 | digital_ok | 100.00% | 0.00% | 0.00% | 0.00% | - | - | 0.198784 | 1.330698 | 0.455792 | -0.358146 | -0.469589 | 4.516967 | 1.990902 | 3.395929 | 0.7232 | 0.6875 | 0.3999 | nan | nan |
| 2459866 | digital_ok | 100.00% | 0.00% | 0.00% | 0.00% | - | - | 0.092745 | 1.758677 | 0.589507 | 0.415484 | -0.187913 | 7.808400 | 1.987507 | 2.415602 | 0.7232 | 0.6899 | 0.3909 | nan | nan |
| 2459865 | digital_ok | 100.00% | 0.00% | 0.00% | 0.00% | - | - | 0.656707 | 2.751231 | 6.164125 | -0.658249 | 0.959133 | 2.275578 | 2.776702 | 5.632381 | 0.7458 | 0.7159 | 0.3573 | nan | nan |
| 2459864 | digital_ok | 100.00% | 0.00% | 0.00% | 0.00% | - | - | -0.234623 | 1.857025 | -1.170745 | 0.133382 | 0.286046 | 3.373676 | 4.282607 | 7.548174 | 0.7217 | 0.6849 | 0.4099 | nan | nan |
| 2459863 | digital_ok | 100.00% | 0.00% | 0.00% | 0.00% | - | - | 0.672681 | -0.014455 | -0.162898 | -0.816939 | 0.469247 | 6.012949 | 3.412195 | 5.427770 | 0.7165 | 0.6764 | 0.4017 | nan | nan |
| 2459862 | digital_ok | 100.00% | 0.00% | 0.00% | 0.00% | - | - | 0.674912 | -1.275674 | -1.582264 | 0.033496 | 0.657521 | 4.090483 | 0.687953 | 3.205018 | 0.7014 | 0.7109 | 0.4147 | nan | nan |
| 2459861 | digital_ok | 100.00% | 0.00% | 0.00% | 0.00% | - | - | 0.453047 | -1.255219 | -0.126100 | -0.298346 | 0.992833 | 4.049433 | 1.294079 | 3.395552 | 0.7298 | 0.6979 | 0.4074 | nan | nan |
| 2459860 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | - | - | 0.450128 | -1.398967 | -1.214415 | -1.187259 | 1.289736 | 0.845632 | 0.598917 | 1.819548 | 0.7348 | 0.6901 | 0.4083 | nan | nan |
| 2459859 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | - | - | 0.072342 | -1.131911 | -0.132185 | 0.093081 | 1.439341 | 3.285819 | 1.320638 | 1.153381 | 0.7373 | 0.6941 | 0.4064 | nan | nan |
| 2459858 | digital_ok | 100.00% | 0.00% | 0.00% | 0.00% | 100.00% | 0.00% | 0.229358 | -1.091442 | -0.148384 | -0.088406 | 1.618387 | 6.835389 | 1.195618 | 2.837060 | 0.7487 | 0.7000 | 0.4189 | 2.700749 | 2.400283 |
| 2459857 | digital_ok | 100.00% | 100.00% | 100.00% | 0.00% | - | - | 18.086644 | -0.437004 | 5.247696 | -0.679385 | 2.535768 | 7.538433 | 7.870921 | 1.077264 | 0.0217 | 0.0255 | 0.0025 | nan | nan |
| 2459856 | digital_ok | 100.00% | 0.00% | 0.00% | 0.00% | 100.00% | 0.00% | 0.686788 | -1.083990 | -1.108507 | -0.884987 | 0.695572 | 6.020148 | 1.010330 | 1.560805 | 0.7418 | 0.7125 | 0.4052 | 2.814277 | 2.502271 |
| 2459855 | digital_ok | 100.00% | 0.00% | 0.00% | 0.00% | 100.00% | 0.00% | 0.399964 | -0.837371 | 0.975251 | 1.296489 | -0.384756 | 5.863928 | 1.151103 | 3.586728 | 0.7211 | 0.7237 | 0.4445 | 3.242229 | 2.718957 |
| 2459854 | digital_ok | 100.00% | 0.00% | 0.00% | 0.00% | 100.00% | 0.00% | 1.727364 | 1.302818 | 8.974874 | 11.741486 | -0.109760 | 3.431213 | 0.199500 | 1.611568 | 0.7475 | 0.7632 | 0.4417 | 2.588061 | 2.352843 |
| 2459853 | digital_ok | 100.00% | 0.00% | 0.00% | 0.00% | 100.00% | 0.00% | 1.248874 | 0.759446 | 12.073445 | 15.095072 | 0.092733 | 0.877015 | 0.421845 | 1.408046 | 0.7665 | 0.7121 | 0.4234 | 3.099427 | 2.719030 |
| 2459852 | digital_ok | 100.00% | 0.00% | 0.00% | 0.00% | 100.00% | 0.00% | 3.023714 | 2.508793 | 12.497740 | 16.313292 | 3.668704 | 4.474453 | 9.005893 | 12.337871 | 0.8431 | 0.8331 | 0.2634 | 5.099133 | 4.664132 |
| 2459851 | digital_ok | 100.00% | 100.00% | 100.00% | 0.00% | 100.00% | 0.00% | nan | nan | inf | inf | nan | nan | nan | nan | nan | nan | nan | 0.000000 | 0.000000 |
| 2459850 | digital_ok | 100.00% | 0.00% | 0.00% | 0.00% | 100.00% | 0.00% | 1.157225 | 1.307497 | 11.417235 | 13.850563 | -0.800983 | 3.689172 | 0.468164 | 7.865023 | 0.7650 | 0.7681 | 0.3577 | 3.083687 | 2.771716 |
| 2459849 | digital_ok | 100.00% | 100.00% | 100.00% | 0.00% | 100.00% | 0.00% | nan | nan | inf | inf | nan | nan | nan | nan | nan | nan | nan | 0.000000 | 0.000000 |
| 2459848 | digital_ok | 100.00% | 0.00% | 0.00% | 0.00% | 100.00% | 0.00% | 0.511571 | -0.700487 | -1.066206 | 0.039216 | 0.989295 | 4.508427 | 1.332590 | 2.695458 | 0.7403 | 0.7527 | 0.3835 | 3.130285 | 2.709563 |
| 2459847 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | 3.21% | 0.00% | 1.184248 | -1.333144 | -0.853136 | -0.911326 | -0.095541 | 1.802504 | -0.659381 | 0.247019 | 0.7441 | 0.6934 | 0.4366 | 1.450191 | 1.364061 |
| 2459846 | digital_ok | 100.00% | 0.00% | 0.00% | 0.00% | 100.00% | 0.00% | 0.509124 | -0.976767 | -0.766017 | -0.853974 | 1.491774 | 4.655808 | -0.325526 | 0.616158 | 0.8550 | 0.6927 | 0.4859 | 2.889798 | 2.839071 |
| 2459845 | digital_ok | 100.00% | 0.00% | 0.00% | 0.00% | 100.00% | 0.00% | 1.170685 | -0.143403 | -0.772452 | 0.330243 | 1.051174 | 5.523841 | 2.297259 | 1.809551 | 0.7648 | 0.7652 | 0.3657 | 6.161065 | 3.790693 |
| 2459844 | digital_ok | 100.00% | 100.00% | 100.00% | 0.00% | - | - | 38.926628 | 2.804989 | 32.077806 | 0.701011 | 6.771450 | 8.450858 | 13.315939 | 6.144606 | 0.0212 | 0.0246 | 0.0025 | nan | nan |
| 2459843 | digital_ok | 0.00% | 0.66% | 0.66% | 0.00% | 15.22% | 0.00% | 0.628417 | -0.427689 | -0.819281 | 0.736158 | 3.572230 | 3.446004 | 0.548422 | 0.477919 | 0.7656 | 0.7576 | 0.3890 | 1.594764 | 1.550017 |
| 2459839 | digital_ok | 100.00% | - | - | - | - | - | 19.368872 | 18.390692 | 87.447244 | 104.602643 | nan | nan | -29.231224 | -30.920487 | nan | nan | nan | nan | nan |
| 2459838 | digital_ok | 100.00% | 100.00% | 100.00% | 0.00% | 100.00% | 0.00% | 0.790626 | -1.120999 | -0.360658 | -0.581926 | 4.344751 | 7.911837 | -0.002383 | 0.161739 | 0.0845 | 0.0838 | 0.0199 | 1.301872 | 1.297796 |
| 2459836 | digital_ok | - | 100.00% | 100.00% | 0.00% | - | - | nan | nan | nan | nan | nan | nan | nan | nan | 0.0322 | 0.0358 | 0.0022 | nan | nan |
| 2459835 | digital_ok | 100.00% | 100.00% | 100.00% | 0.00% | - | - | -0.871517 | 0.209646 | 4.682359 | 0.940237 | -0.454905 | 3.496883 | 0.005283 | 0.782203 | 0.0320 | 0.0357 | 0.0023 | nan | nan |
| 2459833 | digital_ok | 100.00% | 100.00% | 100.00% | 0.00% | - | - | 11.611834 | -0.491319 | 8.426509 | -1.144047 | 2.622875 | 6.593590 | 8.507591 | 3.502510 | 0.0256 | 0.0312 | 0.0014 | nan | nan |
| 2459832 | digital_ok | 100.00% | 0.00% | 5.38% | 0.00% | 100.00% | 0.00% | 1.051284 | -1.722033 | -0.958989 | -1.111017 | -0.016086 | 5.618473 | 2.850470 | 2.567895 | 0.7599 | 0.4448 | 0.5758 | 3.237857 | 2.741078 |
| 2459831 | digital_ok | 100.00% | 100.00% | 100.00% | 0.00% | - | - | 8.349662 | 0.354338 | 62.897778 | 1.914086 | 3.083580 | -0.043551 | 22.625634 | 3.146816 | 0.0213 | 0.0298 | 0.0039 | nan | nan |
| 2459830 | digital_ok | 0.00% | 100.00% | 100.00% | 0.00% | 100.00% | 0.00% | 0.665291 | -1.724602 | -1.044381 | -0.531118 | 1.854841 | 2.108541 | 1.725278 | 2.656296 | 0.0747 | 0.0888 | 0.0263 | 1.290317 | 1.277112 |
| 2459829 | digital_ok | 100.00% | 100.00% | 100.00% | 0.00% | 100.00% | 0.00% | 1.449159 | -1.827647 | -0.006157 | 1.162414 | 3.592254 | 5.253950 | 4.816451 | 5.037266 | 0.0815 | 0.0889 | 0.0179 | 1.272835 | 1.285809 |
| 2459828 | digital_ok | 100.00% | 100.00% | 100.00% | 0.00% | 100.00% | 0.00% | 0.734187 | -0.958822 | -0.433519 | 1.372845 | 1.419545 | 1.782223 | 5.000282 | 2.806009 | 0.0763 | 0.0866 | 0.0203 | 1.165025 | 1.167826 |
| 2459827 | digital_ok | 0.00% | 100.00% | 100.00% | 0.00% | 100.00% | 0.00% | 1.394918 | -1.061621 | -0.458191 | 0.285186 | 1.880078 | 3.440095 | 0.565698 | 0.170842 | 0.0835 | 0.0870 | 0.0184 | 1.240258 | 1.238618 |
| 2459826 | digital_ok | 0.00% | 100.00% | 100.00% | 0.00% | 100.00% | 0.00% | 0.386654 | -0.792055 | -0.811466 | 0.026045 | 2.360801 | 1.166774 | 0.555232 | 1.182994 | 0.0590 | 0.0527 | 0.0048 | 1.268278 | 1.273262 |
| 2459825 | digital_ok | 0.00% | 100.00% | 100.00% | 0.00% | 100.00% | 0.00% | 0.072068 | -1.133362 | -0.848241 | -1.037123 | 3.415050 | 3.982439 | 1.075951 | 0.745826 | 0.0745 | 0.0857 | 0.0207 | 1.215126 | 1.216567 |
| 2459824 | digital_ok | 100.00% | 100.00% | 100.00% | 0.00% | 100.00% | 0.00% | 1.871407 | -0.589957 | -0.102758 | -0.743718 | 8.719161 | 9.695631 | 13.685350 | 13.446366 | 0.0877 | 0.0856 | 0.0153 | 1.301131 | 1.293221 |
| 2459823 | digital_ok | 100.00% | 100.00% | 100.00% | 0.00% | 100.00% | 0.00% | -0.493016 | -0.538982 | -0.755584 | -0.769096 | 0.623416 | 0.333823 | 5.486428 | 9.256052 | 0.0749 | 0.0879 | 0.0185 | 1.229206 | 1.230723 |
| 2459822 | digital_ok | 0.00% | 100.00% | 100.00% | 0.00% | 100.00% | 0.00% | 0.059623 | -0.745309 | -0.887356 | 0.557771 | 0.227452 | 0.867948 | 0.698734 | 0.467445 | 0.0800 | 0.0861 | 0.0156 | 1.204562 | 1.203597 |
| 2459821 | digital_ok | 100.00% | 100.00% | 100.00% | 0.00% | 100.00% | 0.00% | 0.824550 | 0.193142 | -0.759594 | 0.323972 | 4.848229 | 5.480723 | 3.263589 | 3.963389 | 0.0792 | 0.0811 | 0.0173 | 1.198804 | 1.194659 |
| 2459820 | digital_ok | 100.00% | 0.00% | 0.00% | 0.00% | 100.00% | 0.00% | 1.260517 | -0.803446 | -0.334113 | 1.709463 | 14.296243 | 22.857548 | 40.347878 | 40.591685 | 0.7790 | 0.6780 | 0.4379 | 4.259136 | 4.143357 |
| 2459817 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | -0.257851 | -0.593335 | -0.814301 | 0.514849 | 0.123638 | 1.784633 | 1.632665 | 1.597120 | 0.8197 | 0.6699 | 0.5111 | 1.983361 | 1.945742 |
| 2459816 | digital_ok | 100.00% | 0.00% | 0.00% | 0.00% | 100.00% | 0.00% | 0.596535 | -1.132881 | -0.905179 | -0.952338 | 3.247810 | 0.564306 | 4.930629 | 5.186673 | 0.8512 | 0.6001 | 0.5963 | 3.620703 | 3.413927 |
| 2459815 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | -0.513806 | -0.947110 | -1.127263 | -0.537534 | 1.903547 | 2.156308 | 2.411232 | 3.623885 | 0.8117 | 0.6740 | 0.5242 | 2.076089 | 1.965279 |
| 2459814 | digital_ok | 0.00% | - | - | - | - | - | nan | nan | nan | nan | nan | nan | nan | nan | nan | nan | nan | nan | nan |
| 2459813 | digital_ok | 100.00% | 100.00% | 100.00% | 0.00% | 100.00% | 0.00% | nan | nan | inf | inf | nan | nan | nan | nan | nan | nan | nan | 0.000000 | 0.000000 |
auto_metrics notebooks.¶htmls_to_display = []
for am_html in auto_metric_htmls:
html_to_display = ''
# read html into a list of lines
with open(am_html) as f:
lines = f.readlines()
# find section with this antenna's metric plots and add to html_to_display
jd = [int(s) for s in re.split('_|\.', am_html) if s.isdigit()][-1]
try:
section_start_line = lines.index(f'<h2>Antenna {antenna}: {jd}</h2>\n')
except ValueError:
continue
html_to_display += lines[section_start_line].replace(str(jd), f'<a href="{jd_to_auto_metrics_url(jd)}" target="_blank">{jd}</a>')
for line in lines[section_start_line + 1:]:
html_to_display += line
if '<hr' in line:
htmls_to_display.append(html_to_display)
break
These figures are reproduced from auto_metrics notebooks. For more info on the specific plots and metrics, see those notebooks (linked at the JD). The most recent 100 days (at most) are shown.
for i, html_to_display in enumerate(htmls_to_display):
if i == 100:
break
display(HTML(html_to_display))
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 31 | N02 | digital_ok | ee Temporal Variability | 32.375921 | -1.160898 | -0.190899 | 0.493939 | 0.183058 | 2.272423 | 32.375921 | 2.807456 | 1.450018 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 31 | N02 | digital_ok | nn Temporal Discontinuties | 5.516536 | -1.141068 | -0.282155 | 0.506776 | 3.083906 | 1.732900 | 1.656752 | 5.516536 | 1.865904 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 31 | N02 | digital_ok | ee Temporal Variability | 29.114218 | 0.403799 | -1.132856 | 1.624293 | 0.613475 | 29.114218 | 1.565592 | 1.996151 | 1.384100 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 31 | N02 | digital_ok | nn Temporal Discontinuties | 2.824968 | 1.868778 | 0.195999 | -0.514856 | 0.918401 | 2.195647 | 0.197995 | 2.824968 | 1.241446 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 31 | N02 | digital_ok | nn Temporal Discontinuties | 4.895320 | 0.364689 | -0.177481 | 0.223400 | 0.175095 | 3.051411 | 1.085260 | 4.895320 | 2.769820 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 31 | N02 | digital_ok | ee Temporal Discontinuties | 9.627846 | 1.719288 | -0.338484 | -0.206353 | 1.158476 | 1.834010 | -0.182063 | 9.503478 | 9.627846 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 31 | N02 | digital_ok | nn Temporal Discontinuties | 5.896410 | 2.627648 | -0.307127 | -0.627596 | 1.228088 | 2.584520 | 0.038654 | 5.896410 | 4.629519 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 31 | N02 | digital_ok | ee Temporal Discontinuties | 7.008094 | 1.046810 | 0.237989 | -0.759271 | 1.004489 | 3.445982 | 1.150845 | 2.885829 | 7.008094 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 31 | N02 | digital_ok | nn Temporal Discontinuties | 6.603957 | 1.737660 | -0.171829 | -0.149090 | 1.641851 | 2.402565 | -0.660849 | 6.603957 | 4.841661 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 31 | N02 | digital_ok | ee Temporal Discontinuties | 4.460737 | 0.509372 | -0.202567 | 0.708735 | 0.366874 | 4.195757 | 0.640808 | 4.293056 | 4.460737 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 31 | N02 | digital_ok | nn Temporal Discontinuties | 10.775174 | 2.199926 | -0.212015 | 0.616941 | 1.784112 | 5.178747 | 0.209822 | 10.775174 | 8.309268 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 31 | N02 | digital_ok | nn Temporal Discontinuties | 5.743841 | 0.202199 | 2.513134 | 1.063126 | 1.753331 | 1.693888 | 3.906864 | 3.946171 | 5.743841 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 31 | N02 | digital_ok | nn Temporal Discontinuties | 6.577813 | 0.244651 | -0.537810 | 1.415107 | -0.406667 | 0.431649 | 4.967766 | 1.583064 | 6.577813 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 31 | N02 | digital_ok | nn Temporal Variability | 2.272162 | 0.077745 | -0.335931 | 0.197907 | 0.219212 | 1.135821 | 2.272162 | 0.485088 | 1.091300 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 31 | N02 | digital_ok | nn Temporal Discontinuties | 6.075631 | 0.095153 | 0.055640 | 0.697941 | -0.755001 | -0.021246 | 2.410773 | 1.231202 | 6.075631 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 31 | N02 | digital_ok | nn Temporal Discontinuties | 6.070690 | -0.009894 | 0.268651 | -0.722202 | 0.416057 | 5.134349 | 1.662229 | 6.070690 | 1.983310 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 31 | N02 | digital_ok | nn Temporal Discontinuties | 3.548459 | -0.446063 | 0.279236 | 0.348120 | 0.898779 | 3.168017 | 0.868003 | 3.548459 | 1.160914 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 31 | N02 | digital_ok | nn Temporal Variability | 6.819304 | 0.109978 | -0.560251 | 0.643115 | 1.809722 | 1.772952 | 6.819304 | 0.909311 | 1.276700 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 31 | N02 | digital_ok | nn Temporal Variability | 2.912764 | 0.317454 | -0.397711 | 0.857268 | 2.212556 | 2.249177 | 2.912764 | 1.087695 | 1.661878 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 31 | N02 | digital_ok | nn Temporal Discontinuties | 5.711516 | 0.128890 | 2.007089 | 1.240347 | 0.126934 | -0.213465 | 3.156097 | 4.846149 | 5.711516 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 31 | N02 | digital_ok | nn Temporal Variability | 4.516967 | 0.198784 | 1.330698 | 0.455792 | -0.358146 | -0.469589 | 4.516967 | 1.990902 | 3.395929 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 31 | N02 | digital_ok | nn Temporal Variability | 7.808400 | 1.758677 | 0.092745 | 0.415484 | 0.589507 | 7.808400 | -0.187913 | 2.415602 | 1.987507 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 31 | N02 | digital_ok | ee Power | 6.164125 | 0.656707 | 2.751231 | 6.164125 | -0.658249 | 0.959133 | 2.275578 | 2.776702 | 5.632381 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 31 | N02 | digital_ok | nn Temporal Discontinuties | 7.548174 | 1.857025 | -0.234623 | 0.133382 | -1.170745 | 3.373676 | 0.286046 | 7.548174 | 4.282607 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 31 | N02 | digital_ok | nn Temporal Variability | 6.012949 | 0.672681 | -0.014455 | -0.162898 | -0.816939 | 0.469247 | 6.012949 | 3.412195 | 5.427770 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 31 | N02 | digital_ok | nn Temporal Variability | 4.090483 | 0.674912 | -1.275674 | -1.582264 | 0.033496 | 0.657521 | 4.090483 | 0.687953 | 3.205018 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 31 | N02 | digital_ok | nn Temporal Variability | 4.049433 | -1.255219 | 0.453047 | -0.298346 | -0.126100 | 4.049433 | 0.992833 | 3.395552 | 1.294079 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 31 | N02 | digital_ok | nn Temporal Discontinuties | 1.819548 | 0.450128 | -1.398967 | -1.214415 | -1.187259 | 1.289736 | 0.845632 | 0.598917 | 1.819548 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 31 | N02 | digital_ok | nn Temporal Variability | 3.285819 | 0.072342 | -1.131911 | -0.132185 | 0.093081 | 1.439341 | 3.285819 | 1.320638 | 1.153381 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 31 | N02 | digital_ok | nn Temporal Variability | 6.835389 | -1.091442 | 0.229358 | -0.088406 | -0.148384 | 6.835389 | 1.618387 | 2.837060 | 1.195618 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 31 | N02 | digital_ok | ee Shape | 18.086644 | -0.437004 | 18.086644 | -0.679385 | 5.247696 | 7.538433 | 2.535768 | 1.077264 | 7.870921 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 31 | N02 | digital_ok | nn Temporal Variability | 6.020148 | 0.686788 | -1.083990 | -1.108507 | -0.884987 | 0.695572 | 6.020148 | 1.010330 | 1.560805 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 31 | N02 | digital_ok | nn Temporal Variability | 5.863928 | -0.837371 | 0.399964 | 1.296489 | 0.975251 | 5.863928 | -0.384756 | 3.586728 | 1.151103 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 31 | N02 | digital_ok | nn Power | 11.741486 | 1.302818 | 1.727364 | 11.741486 | 8.974874 | 3.431213 | -0.109760 | 1.611568 | 0.199500 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 31 | N02 | digital_ok | nn Power | 15.095072 | 0.759446 | 1.248874 | 15.095072 | 12.073445 | 0.877015 | 0.092733 | 1.408046 | 0.421845 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 31 | N02 | digital_ok | nn Power | 16.313292 | 3.023714 | 2.508793 | 12.497740 | 16.313292 | 3.668704 | 4.474453 | 9.005893 | 12.337871 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 31 | N02 | digital_ok | ee Shape | nan | nan | nan | inf | inf | nan | nan | nan | nan |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 31 | N02 | digital_ok | nn Power | 13.850563 | 1.157225 | 1.307497 | 11.417235 | 13.850563 | -0.800983 | 3.689172 | 0.468164 | 7.865023 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 31 | N02 | digital_ok | ee Shape | nan | nan | nan | inf | inf | nan | nan | nan | nan |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 31 | N02 | digital_ok | nn Temporal Variability | 4.508427 | -0.700487 | 0.511571 | 0.039216 | -1.066206 | 4.508427 | 0.989295 | 2.695458 | 1.332590 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 31 | N02 | digital_ok | nn Temporal Variability | 1.802504 | -1.333144 | 1.184248 | -0.911326 | -0.853136 | 1.802504 | -0.095541 | 0.247019 | -0.659381 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 31 | N02 | digital_ok | nn Temporal Variability | 4.655808 | 0.509124 | -0.976767 | -0.766017 | -0.853974 | 1.491774 | 4.655808 | -0.325526 | 0.616158 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 31 | N02 | digital_ok | nn Temporal Variability | 5.523841 | -0.143403 | 1.170685 | 0.330243 | -0.772452 | 5.523841 | 1.051174 | 1.809551 | 2.297259 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 31 | N02 | digital_ok | ee Shape | 38.926628 | 38.926628 | 2.804989 | 32.077806 | 0.701011 | 6.771450 | 8.450858 | 13.315939 | 6.144606 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 31 | N02 | digital_ok | ee Temporal Variability | 3.572230 | -0.427689 | 0.628417 | 0.736158 | -0.819281 | 3.446004 | 3.572230 | 0.477919 | 0.548422 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 31 | N02 | digital_ok | nn Power | 104.602643 | 18.390692 | 19.368872 | 104.602643 | 87.447244 | nan | nan | -30.920487 | -29.231224 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 31 | N02 | digital_ok | nn Temporal Variability | 7.911837 | -1.120999 | 0.790626 | -0.581926 | -0.360658 | 7.911837 | 4.344751 | 0.161739 | -0.002383 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 31 | N02 | digital_ok | ee Power | 4.682359 | 0.209646 | -0.871517 | 0.940237 | 4.682359 | 3.496883 | -0.454905 | 0.782203 | 0.005283 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 31 | N02 | digital_ok | ee Shape | 11.611834 | -0.491319 | 11.611834 | -1.144047 | 8.426509 | 6.593590 | 2.622875 | 3.502510 | 8.507591 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 31 | N02 | digital_ok | nn Temporal Variability | 5.618473 | 1.051284 | -1.722033 | -0.958989 | -1.111017 | -0.016086 | 5.618473 | 2.850470 | 2.567895 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 31 | N02 | digital_ok | ee Power | 62.897778 | 8.349662 | 0.354338 | 62.897778 | 1.914086 | 3.083580 | -0.043551 | 22.625634 | 3.146816 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 31 | N02 | digital_ok | nn Temporal Discontinuties | 2.656296 | 0.665291 | -1.724602 | -1.044381 | -0.531118 | 1.854841 | 2.108541 | 1.725278 | 2.656296 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 31 | N02 | digital_ok | nn Temporal Variability | 5.253950 | -1.827647 | 1.449159 | 1.162414 | -0.006157 | 5.253950 | 3.592254 | 5.037266 | 4.816451 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 31 | N02 | digital_ok | ee Temporal Discontinuties | 5.000282 | -0.958822 | 0.734187 | 1.372845 | -0.433519 | 1.782223 | 1.419545 | 2.806009 | 5.000282 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 31 | N02 | digital_ok | nn Temporal Variability | 3.440095 | 1.394918 | -1.061621 | -0.458191 | 0.285186 | 1.880078 | 3.440095 | 0.565698 | 0.170842 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 31 | N02 | digital_ok | ee Temporal Variability | 2.360801 | -0.792055 | 0.386654 | 0.026045 | -0.811466 | 1.166774 | 2.360801 | 1.182994 | 0.555232 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 31 | N02 | digital_ok | nn Temporal Variability | 3.982439 | -1.133362 | 0.072068 | -1.037123 | -0.848241 | 3.982439 | 3.415050 | 0.745826 | 1.075951 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 31 | N02 | digital_ok | ee Temporal Discontinuties | 13.685350 | 1.871407 | -0.589957 | -0.102758 | -0.743718 | 8.719161 | 9.695631 | 13.685350 | 13.446366 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 31 | N02 | digital_ok | nn Temporal Discontinuties | 9.256052 | -0.538982 | -0.493016 | -0.769096 | -0.755584 | 0.333823 | 0.623416 | 9.256052 | 5.486428 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 31 | N02 | digital_ok | nn Temporal Variability | 0.867948 | 0.059623 | -0.745309 | -0.887356 | 0.557771 | 0.227452 | 0.867948 | 0.698734 | 0.467445 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 31 | N02 | digital_ok | nn Temporal Variability | 5.480723 | 0.193142 | 0.824550 | 0.323972 | -0.759594 | 5.480723 | 4.848229 | 3.963389 | 3.263589 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 31 | N02 | digital_ok | nn Temporal Discontinuties | 40.591685 | 1.260517 | -0.803446 | -0.334113 | 1.709463 | 14.296243 | 22.857548 | 40.347878 | 40.591685 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 31 | N02 | digital_ok | nn Temporal Variability | 1.784633 | -0.257851 | -0.593335 | -0.814301 | 0.514849 | 0.123638 | 1.784633 | 1.632665 | 1.597120 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 31 | N02 | digital_ok | nn Temporal Discontinuties | 5.186673 | -1.132881 | 0.596535 | -0.952338 | -0.905179 | 0.564306 | 3.247810 | 5.186673 | 4.930629 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 31 | N02 | digital_ok | nn Temporal Discontinuties | 3.623885 | -0.947110 | -0.513806 | -0.537534 | -1.127263 | 2.156308 | 1.903547 | 3.623885 | 2.411232 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 31 | N02 | digital_ok | nn Shape | nan | nan | nan | nan | nan | nan | nan | nan | nan |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 31 | N02 | digital_ok | nn Shape | nan | nan | nan | inf | inf | nan | nan | nan | nan |